mindit-confidence

mindit-confidence is a skill for Claude Code, Codex from Dragoon0x/usemindit. It costs 105 tokens per session (1,236 once invoked), scanned A, original, MIT.

A method for judging how much evidence supports a design decision. It compares research, data, intuition, and assumptions rather than treating them as equally reliable.

In plain words
What is it for?
It helps review user research, interviews, surveys, experiments, analytics, and beliefs about what users want.
Why use it?
It helps reveal when a decision is based on strong evidence and when it is based mainly on guesses or limited information.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps review user research, interviews, surveys, experiments, analytics, and beliefs about what users want.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dragoon0x/usemindit/mindit-confidence
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Dragoon0x/usemindit --skill mindit-confidence
Clone the repo
git clone --depth 1 https://github.com/Dragoon0x/usemindit

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mindit-confidence

README.md
[![agentmods](https://agentmods.dev/badge/skills/dragoon0x/usemindit/mindit-confidence/github.svg)](https://agentmods.dev/skills/dragoon0x/usemindit/mindit-confidence)
Your own site
<a href="https://agentmods.dev/skills/dragoon0x/usemindit/mindit-confidence"><img src="https://agentmods.dev/badge/skills/dragoon0x/usemindit/mindit-confidence/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for mindit-confidence

Your own site · 80×15
<a href="https://agentmods.dev/skills/dragoon0x/usemindit/mindit-confidence"><img src="https://agentmods.dev/badge/skills/dragoon0x/usemindit/mindit-confidence.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,236 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00105 $0.01236
Opus 5.5 $0.00042 $0.00494
Sonnet 5.5 $0.00021 $0.00247
Haiku 4.5 $0.00011 $0.00124

Measured 2mo ago against content hash 66518fe9a81f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mindit-confidence scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/mindit-confidence/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

mindit-confidence

The seventh of the eight forces. Run this when the question is "how do we actually know."

The force

Every design decision is backed by something. Sometimes that something is real research — interviews, observations, data, prior experiments. Sometimes it is convention — "this is how everyone does it." Sometimes it is intuition — "I think users would want this." Sometimes it is assumption — "we believe users will."

These are not equal. Confidence is highest with triangulated, fresh, broad, well-mechanized evidence. Confidence is lowest with single-source, stale, narrow, weakly-mechanized claims, or with no claims at all.

Confidence asks: where on this spectrum does this decision actually live?

The goal is not to require evidence for every decision. The goal is to know which decisions you are flying blind on, so you can decide whether to invest in research or move forward on conviction.

When to run this

  • The user states a belief about users ("users want X," "users will not Y," "users prefer Z").
  • The user mentions research, interviews, A/B tests, surveys, analytics, or "what the data says."
  • The user has just shipped or is about to ship a hypothesis-driven design.
  • The user uses phrases like "we know," "we believe," "I think," "users tend to."

How to analyze

  1. Surface the claims. Walk through the design and extract every claim about users it implicitly or explicitly makes. ("Users want fewer steps," "users skim before reading," "users will trust this badge.")

  2. For each claim, ask three questions:

    • What evidence backs this? Research, data, convention, intuition, assumption.
    • How fresh is the evidence? When was it produced? Has the user base changed since?
    • How broad is the evidence? One user, ten, thousands? One segment or all segments?
  3. Score the criteria below. Each criterion measures one dimension of evidence quality.

  4. Distinguish "thin evidence" from "no evidence." Both are valid findings but they get different fixes. Thin evidence can be strengthened. No evidence requires deciding whether to invest in research or proceed on conviction.

Read the full file on GitHub · 89 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 89 lines · 105 tokens per session scan A 66518fe9a81f

Subscribe to this mod's changes

mindit-confidence is a skill published in the GitHub repository Dragoon0x/usemindit (2 stars, last pushed 6mo ago), licensed MIT. It adds 105 tokens to every session and 1,236 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

mindit-confidence compared with skills from other repositories

mindit-confidence next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
mindit-confidenceDragoon0x/useminditSkill26mo agoMITA105Claude Code, Codex
imagegenopenai/codexSkill134ktodayApache-2.0A113Codex
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79ktodayMITA200Claude Code, Codex
playwright-climicrosoft/playwrightSkill99ktodayApache-2.0A19Claude Code
systematic-debuggingobra/superpowersSkill314k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code
chat-pet-sprite-creationmicrosoft/vscodeSkill195ktodayMITA53Claude Code, Codex